Can I use this for non-Python projects?

This specific skill is tailored for Python environments, specifically those using the uv package manager and standard Python quality tools.

Which tools does this skill use for quality checks?

The skill utilizes Ruff for ultra-fast linting and formatting, and Mypy for comprehensive static type checking in Python projects.

When is the best time to trigger the Quality Gate?

It is designed to be triggered before git commits, before creating pull requests, or any time quality issues are suspected in the codebase.

Does it automatically fix my code errors?

Yes, it can run automated correction commands like 'ruff check --fix' and 'ruff format' to resolve many style and linting issues without manual intervention.

What happens if a check fails during the process?

The skill generates a detailed report highlighting the specific errors and files. You must resolve these issues until the status shows 'PASS' before proceeding with a commit.

Code Quality Gate

Name: Code Quality Gate
Author: drillan

bydrillan

Seguridad y Pruebas

Enforces Python code quality standards by automating linting, formatting, and static type checking before commits or pull requests.

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The Code Quality Gate skill acts as a non-negotiable compliance layer for Python projects, integrating industry-standard tools like Ruff and Mypy directly into the Claude Code workflow. It automatically validates code style, identifies security vulnerabilities, and ensures strict type safety before any code is committed or merged. By providing clear pass/fail reports and offering automated fixes for common violations, this skill streamlines the development lifecycle while maintaining high-integrity codebases according to defined quality standards.

Características Principales

0 GitHub stars
Strict static type checking with Mypy to prevent runtime errors
Automated linting and security scanning using Ruff
Standardized code formatting to ensure style consistency
Automated 'fix' mode for one-click resolution of style violations
Detailed pass/fail reporting for pre-commit and PR validation

Casos de Uso

Enforcing strict type safety and preventing None-type errors in complex logic
Automatically cleaning up linting issues and unused imports across a repository
Validating Python code standards before submitting a pull request

Acerca de

Características Principales

0 GitHub stars
Strict static type checking with Mypy to prevent runtime errors
Automated linting and security scanning using Ruff
Standardized code formatting to ensure style consistency
Automated 'fix' mode for one-click resolution of style violations
Detailed pass/fail reporting for pre-commit and PR validation

Casos de Uso

Enforcing strict type safety and preventing None-type errors in complex logic
Automatically cleaning up linting issues and unused imports across a repository
Validating Python code standards before submitting a pull request